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Posts Tagged ‘ graphics ’

As anyone who's ever played Civilization knows, the advent of sailboats capable of crossing the oceans leads to an explosion of exploration, commerce and social development. And with the visualization below, you can see that explosion in action: Ben Schmidt used the R language and data recorded in by hand in ship logs to create the animation above. Like...

With print() If you are an advanced R user, you probably know the lattice and the ggplot2 packages. They allow you to plot elegant graphics with less code (Hocking, 2009 and Sueur, 2010). If you know these two packages, you should hardly use plot() for your graphs. If you read my article on FastRWeb, you

That's a mouthful! I presented this topic to a group of Vandy statisticians a few days ago. My notes (essentially reproduced in this post) are recorded at the Dept. of Biostatistics wiki: HowToBootstrapCorrelatedData. The presentation covers some bootstrap strategies for hierarchically structured (correlated) data, but focuses on the multi-stage bootstrap; an extension of that described

The image below isn't a bearskin rug in the shape of the USA. It's fact, it's a visualization of the wind flowing over the United States, as of 4PM EDT today, March 30. You can click through to see the current wind conditions, based on latest data from the National Digital Forecast Database. But more importantly, as long as...

I do most of my R work on a server via SSH. Viewing graphics (i.e. plot()) can be excruciatingly slow through the SSH pipe, but it's easy to make it fast. Simply run: X11.options(type="Xlib")once in the R session....

If the goal of the Invisible Children campaign, which has received millions of dollars of contributions since the Kony 2012 video went viral, is to convince us that the money is being put to humanitarian efforts, they could do a lot better than this chart: Putting 37% of expenses into programs in Africa is a decent result -- many...

For those who have not read the seminal works of Tufte and Cleveland, please hang your heads in shame. To salvage some sense of self-worth, you can then head over to Solomon Messing’s blog where he is starting a series on data visualization based on ...

Hadley Wickham has just released an update to the ggplot2 graphics package for R. Version 0.9.0 significantly speeds up the process of rendering graphics, and the documentation is much improved (including the addition of many new examples). This update also adds a bunch of new features, which are documented in this 40-page "changes and additions" guide. Here's a sampling...

Spanish R user and solar energy lecturer Oscar Perpiñán Lamigueiro has written a detailed three-part guide to creating beautiful maps and choropleths (maps color-coded with regional data) using the R language. Motivated by the desire to recreate this graphic from the New York Times, Oscar describes how he creates similar high-quality maps using R. In Part 1, Oscar grabbed...

Stats Chat is an interesting kiwi site—managed by the Department of Statistics of the University of Auckland—that centers around the use and presentation of statistics in the media. This week there was an interesting discussion on one of those infographics … Continue reading →